| import os | |
| from langchain import LLMChain | |
| from langchain.chains import SequentialChain | |
| from langchain.chat_models import ChatOpenAI | |
| from langchain.prompts import ChatPromptTemplate | |
| def preprocess_resume(llm, resume) -> SequentialChain: | |
| template_get_skills_intersection = """ | |
| ``` | |
| {resume} | |
| ``` | |
| Can you summarize the above resume in the template below and fill in eveything that is delimited by '<' '>'? | |
| Return only the filled in template nothing else. | |
| position: < the job name or role > | |
| location: < where does the person live > | |
| description: < the description or the person's job or role and description of it's experience. > | |
| profile: < can you describe the sector the person is working in > | |
| competences: < can you describe some hard skills of the person> | |
| """ | |
| prompt_get_skills_intersection = ChatPromptTemplate.from_template( | |
| template=template_get_skills_intersection | |
| ) | |
| skills_match_chain = LLMChain( | |
| llm=llm, | |
| prompt=prompt_get_skills_intersection, | |
| output_key="resume_preprocess", | |
| ) | |
| chain = SequentialChain( | |
| chains=[skills_match_chain], | |
| input_variables=["resume"], | |
| output_variables=[ | |
| skills_match_chain.output_key, | |
| ], | |
| verbose=False, | |
| ) | |
| return chain({"resume": resume}) | |